Senior Data Engineer

Job not on LinkedIn

🕒 May 22

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of ZigZag Offshoring

ZigZag Offshoring

501 - 1000 employees

👥 HR Tech

🎯 Recruiter

🏢 Enterprise

HR Tech • Recruitment • Enterprise

ZigZag Offshoring is a company that provides offshoring services to businesses, facilitating the hiring and management of staff across different roles and industries. It is based in Manila, Philippines, and emphasizes data privacy and consent in its recruitment processes. ZigZag Offshoring offers a variety of job opportunities, including positions for developers, customer service representatives, HR admins, and more, often with flexible or remote working options. The company collects and processes personal data as part of the recruitment process, adhering to applicable data privacy laws and regulations.

📋 Description

• Design, build, and maintain scalable and secure cloud-native data platforms and data pipelines. • Lead the architecture, optimisation, and operational management of the Snowflake data warehouse platform. • Develop robust ELT/ETL pipelines to ingest, transform, and deliver high-quality data from multiple internal and external sources. • Build reusable and maintainable data frameworks, transformation models, and orchestration workflows. • Develop and maintain infrastructure-as-code and automation for data platform provisioning and management where appropriate. • Optimise performance, scalability, and cost efficiency across data storage, transformation, and query workloads. • Support near real-time and batch-based data processing requirements. • Own and continuously improve Snowflake architecture, performance tuning, security, governance, and operational best practices. • Design and optimise Snowflake schemas, warehouses, clustering strategies, and data sharing capabilities. • Monitor Snowflake usage, query performance, and cost consumption to drive optimisation initiatives. • Support data lifecycle management, retention, and governance policies within Snowflake. • Enable self-service analytics capabilities through well-structured semantic layers and governed datasets. • Collaborate closely with Product, Engineering, Operations, Finance, and Business stakeholders to deliver impactful data solutions.

🎯 Requirements

• 5+ years of experience in Data Engineering, Analytics Engineering, or related data platform roles. • Experience designing and supporting multi-region and enterprise-scale data platform architectures. • Strong experience driving performance optimisation and cloud cost efficiency initiatives across large-scale data workloads. • Strong understanding of platform reliability, operational maturity, resilience, and production support practices. • Experience implementing advanced governance, security, access control, and data protection models within enterprise data platforms. • Strong capability in developing architectural standards, engineering documentation, and scalable platform design patterns. • Strong hands-on expertise with Snowflake in enterprise-scale environments. • Advanced SQL skills with experience optimising complex analytical queries and data transformations. • Strong experience building and maintaining modern ELT/ETL pipelines and orchestration workflows. • Strong understanding of modern data warehousing concepts, dimensional modelling, and scalable data architecture. • Experience working with cloud platforms such as AWS, Azure, or GCP. • Experience with data transformation and orchestration tools such as dbt, Airflow, Fivetran, Matillion, or equivalent platforms. • Experience integrating structured and semi-structured data sources. • Strong understanding of data governance, security, and access management principles. • Proven ability to manage large and complex datasets in production environments. • Strong analytical, troubleshooting, and problem-solving capabilities. • Ability to work effectively in fast-paced, agile, and collaborative environments.

🏖️ Benefits

• ZigZag is committed to building a diverse, inclusive, and equitable workplace. • We welcome individuals from all backgrounds. • Guided by transparency and agility, we foster an environment where everyone is valued and empowered to thrive.

Apply Now

Similar Jobs

🕒 May 11

Pear Tree.

1 - 10

🎯 Recruiter

👥 HR Tech

🤝 B2B

Data Engineer needed for building and maintaining data pipelines and infrastructure. Remote role focused on data extraction, transformation, and modeling to support analytics and reporting.

Azure

Python

SQL

🕒 April 1

Lago

1 - 10

🤝 B2B

🛍️ eCommerce

📡 Telecommunications

Senior Full-Stack Engineer leading platform development for web and mobile apps. Building reliable pipelines and overseeing end-to-end project ownership in a remote environment.

AWS

Cloud

ETL

Google Cloud Platform

Python

SQL

🕒 April 1

3Cloud

501 - 1000

☁️ SaaS

🤖 Artificial Intelligence

🏢 Enterprise

Lead Consultant in Data Architecture & Engineering for 3Cloud specializing in Azure technologies. Role involves technical leadership and mentorship within a remote team for cutting-edge projects.

Azure

Cloud

PySpark

Python

SQL

🕒 April 1

3Cloud

501 - 1000

☁️ SaaS

🤖 Artificial Intelligence

🏢 Enterprise

Senior Consultant focusing on data architecture and engineering with Azure at 3Cloud. Collaborating on projects that demand high technical standards and client engagement.

Azure

Cloud

PySpark

Python

SQL

🕒 March 31

Ocean Technologies Group

201 - 500

🛍️ eCommerce

📚 Education

🚗 Transport

Data Engineer creating and overseeing data ingestion and transformation pipelines for OneOcean's analytics landscape. Supporting safe, sustainable maritime energy transition efforts.

Apache

AWS

Azure

Cloud

ETL

Jenkins

Postgres

PySpark

Python

Tableau